Selective Net Income Applicable To Common Shares from 2010 to 2026
| SV2 Stock | EUR 71.00 3.00 4.41% |
Net Income Applicable To Common Shares | First Reported 2018-06-30 | Previous Quarter 56.3 M | Current Value 56.3 M | Quarterly Volatility 28.3 M |
Check Selective Insurance financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Selective Insurance's main balance sheet or income statement drivers, such as Interest Expense of 22.5 M, Selling General Administrative of 24.1 M or Total Revenue of 3.4 B, as well as many indicators such as . Selective financial statements analysis is a perfect complement when working with Selective Insurance Valuation or Volatility modules.
Selective | Net Income Applicable To Common Shares |
The Net Income Applicable To Common Shares trend for Selective Insurance Group offers valuable insights into the company's financial trajectory and strategic direction. By examining multi-year patterns, investors can identify whether Selective Insurance is strengthening or weakening its position, and how this metric correlates with broader market conditions and industry benchmarks.
Latest Selective Insurance's Net Income Applicable To Common Shares Growth Pattern
Below is the plot of the Net Income Applicable To Common Shares of Selective Insurance Group over the last few years. It is the net income that remains after preferred dividends have been deducted, available to common shareholders. Selective Insurance's Net Income Applicable To Common Shares historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Selective Insurance's overall financial position and show how it may be relating to other accounts over time.
| Net Income Applicable To Common Shares | 10 Years Trend |
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Net Income Applicable To Common Shares |
| Timeline |
Selective Net Income Applicable To Common Shares Regression Statistics
| Arithmetic Mean | 209,207,170 | |
| Geometric Mean | 202,515,996 | |
| Coefficient Of Variation | 29.05 | |
| Mean Deviation | 44,875,121 | |
| Median | 178,939,000 | |
| Standard Deviation | 60,775,238 | |
| Sample Variance | 3693.6T | |
| Range | 236M | |
| R-Value | 0.60 | |
| Mean Square Error | 2527.1T | |
| R-Squared | 0.36 | |
| Significance | 0.01 | |
| Slope | 7,206,898 | |
| Total Sum of Squares | 59098.1T |
Selective Net Income Applicable To Common Shares History
About Selective Insurance Financial Statements
Selective Insurance stakeholders use historical fundamental indicators, such as Selective Insurance's Net Income Applicable To Common Shares, to determine how well the company is positioned to perform in the future. Although Selective Insurance investors may analyze each financial statement separately, they are all interrelated. For example, changes in Selective Insurance's assets and liabilities are reflected in the revenues and expenses on Selective Insurance's income statement, which ultimately affect the company's gains or losses. Understanding these patterns can help in making the right long-term investment decisions in Selective Insurance Group. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Net Income Applicable To Common Shares | 248 M | 247.5 M |
Currently Active Assets on Macroaxis
When determining whether Selective Insurance offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Selective Insurance's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Selective Insurance Group Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Selective Insurance Group Stock:Check out the analysis of Selective Insurance Correlation against competitors. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.